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The ghost of Vector lives on. Tucson, Arizona-based satellite and rocket developer Phantom Space, co-founded by Jim Cantrell in 2019, has acquired the remnants of Vector Launch, Space News reports. The announcement is notable because Cantrell left Vector as its finances deteriorated in 2019. Cantrell said some of the assets, comprising flight-proven design elements, engineering data, and other technology originally developed for Vector, will be immediately integrated into Phantom’s Daytona vehicle architecture to reduce development risk.
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If the talks fail, there is uncertainty over what the US may do regarding a possible military attack against Iran, and when it might act. Questions remain over what this could mean for the wider region, with Iran warning it would retaliate and even attack Israel.
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Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.